---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-finetuned-English-to-Dagaare
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-finetuned-English-to-Dagaare

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1439
- Bleu: 0.0
- Gen Len: 6.0454

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
| No log        | 1.0   | 484  | 0.1642          | 0.0  | 4.9104  |
| 0.7996        | 2.0   | 968  | 0.1519          | 0.0  | 5.5891  |
| 0.1548        | 3.0   | 1452 | 0.1470          | 0.0  | 5.7218  |
| 0.1469        | 4.0   | 1936 | 0.1447          | 0.0  | 5.7835  |
| 0.1444        | 5.0   | 2420 | 0.1439          | 0.0  | 6.0454  |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1